"\"Shape recognition of geometric models described. by triangular meshes is aected by some problems. which made it dicult to be performed without er-. rors. Some factors, such as the location errors of. points due to acquisition process and the coarse rep-. resentation of continuous surfaces due to triangular. approximation, introduce uncertainty in the recogni-. tion process of the geometric shape. This paper in-. troduces some original fuzzy sets suited to recognize. geometric form. The membership functions of the. fuzzy sets are dynamically de\\fned so that they can. be adapted to take into account those properties of. the geometric model that aect the uncertainty of. the recognition process. The proposed approach is. intrinsically very robust and achieves good results. also in recognising form features in geometric mod-. els aected by point location errors.\""
Fuzzy sets for geometric shape recognition in triangular meshes
DI ANGELO, LUCA;DI STEFANO, PAOLO;
2013-01-01
Abstract
"\"Shape recognition of geometric models described. by triangular meshes is aected by some problems. which made it dicult to be performed without er-. rors. Some factors, such as the location errors of. points due to acquisition process and the coarse rep-. resentation of continuous surfaces due to triangular. approximation, introduce uncertainty in the recogni-. tion process of the geometric shape. This paper in-. troduces some original fuzzy sets suited to recognize. geometric form. The membership functions of the. fuzzy sets are dynamically de\\fned so that they can. be adapted to take into account those properties of. the geometric model that aect the uncertainty of. the recognition process. The proposed approach is. intrinsically very robust and achieves good results. also in recognising form features in geometric mod-. els aected by point location errors.\""Pubblicazioni consigliate
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